Crossing-Preserving Geodesic Tracking on Spherical Images

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

In image analysis one often encounters spherical images, for instance in retinal imaging. The behavior of the vessels in the retina is an indicator of several diseases. To automate disease diagnosis using retinal images, it is necessary to develop an algorithm that automatically identifies and tracks vessels. To deal with crossings due to projected blood vessels in the image it is common to lift retinal images to the space of planar positions and orientations.M2 := R2×S1. This implicitly assumes that the flat image accurately represents the geometry of the retina. As the eyeball is a sphere (and not a plane), we propose to compute the cusp-free, crossing-preserving geodesics in the space of spherical positions and orientations .W2 on wide-field images. We clarify how to relate both manifolds and compare the calculated geodesics. The results show clear advantages of crossing-preserving tracking in.W2 over non-crossing-preserving tracking in .W2 and are comparable to tracking results in .M2.
Originele taal-2Engels
TitelScale Space and Variational Methods in Computer Vision
Subtitel10th International Conference, SSVM 2025, Dartington, UK, May 18–22, 2025, Proceedings, Part II
RedacteurenTatiana A. Bubba, Romina Gaburro, Silvia Gazzola, Kostas Papafitsoros, Marcelo Pereyra, Carola-Bibiane Schönlieb
Plaats van productieCham
UitgeverijSpringer
HoofdstukII
Pagina's192-204
Aantal pagina's13
ISBN van elektronische versie978-3-031-92369-2
ISBN van geprinte versie978-3-031-92368-5
DOI's
StatusGepubliceerd - 17 mei 2025
Evenement10th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2025 - Dartington, Verenigd Koninkrijk
Duur: 18 mei 202522 mei 2025

Publicatie series

NaamLecture Notes in Computer Science
Volume15668
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres10th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2025
Verkorte titelSSVM 2025
Land/RegioVerenigd Koninkrijk
StadDartington
Periode18/05/2522/05/25

Financiering

We gratefully acknowledge the Dutch Foundation of Science NWO for its financial support by Talent Programme VICI 2020 Exact Sciences (Duits, Geometric learning for Image Analysis, VI.C 202-031). We thank the students of the modeling week project \u201CGeodesic Tracking of Blood Vessels in Wide-Field Retinal Images\u201D for preliminary experimental results.

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